Nacim Yanes

Jouf University Saudi Arabia · Department of Information Systems

Heart attacks are a leading cause of mortality worldwide, necessitating the development of accurate predictive models to enhance early detection and intervention strategies. This study addresses the significant problem of class imbalance in medical datasets, specifically focusing on heart attack prediction using the Behavioral Risk Factor Surveilla...

Higher Education Institutions (HEIs) are blamed for being insouciant about the business world and not efficiently steeling students with employment abilities. As a reply to this exigency from business owners, HEIs have started to show commitment to graduate employability through developing and adopting new educational material, such Serious Games (...

The trend towards smart greenhouses stems from various factors, including a lack of agricultural land area owing to population concentration and housing construction on agricultural land, as well as water shortages. This study proposes building a full farming adaptation model that depends on current sensor readings and available datasets from diffe...

The trend towards smart greenhouses stems from various factors, including a lack of agricultural land area owing to population concentration and housing construction on agricultural land, as well as water shortages. This study proposes building a full farming adaptation model that depends on current sensor readings and available datasets from diffe...

Various semantic technologies such as ontologies, machine learning, or artificial intelligence-based are being used today with data science for the purpose of explaining the meaning of data, and making this explanation exploitable by computer processing. Although some quick and brief reports do exist, to the best of our knowledge, the literature la...

The digitization of data in healthcare industry has continued to increase, appealing researchers to think about data science in healthcare. There have been plenty of studies about the application of data science in healthcare fields. The objective of this work is to determine to which extent data science has been applied in healthcare and its matur...

Various semantic technologies such as ontologies, machine learning or artificial intelligence-based are being used today with data science in the purpose of explaining the meaning of data, and making this explanation exploitable by computer processing. Although some quick and brief reports do exist, to the best of our knowledge , the literature lac...

Accurate forecasting of emerging infectious diseases can guide public health officials in making appropriate decisions related to the allocation of public health resources. Due to the exponential spread of the COVID-19 infection worldwide, several computational models for forecasting the transmission and mortality rates of COVID-19 have been propos...

Interest in serious games for education has grown during the last years. The credit goes to the potential for engaging students with new ways to capture and maintain attention. The goal of this paper is to introduce a new multidisciplinary approach that incorporates psychological analysis theory with fuzzy inference and neural networks in the Forei...

Accurate forecasting of emerging infectious diseases can guide public health officials in making appropriate decisions related to the allocation of public health resources. Due to the exponential spread of the COVID-19 infection worldwide, several computational models for forecasting the transmission and mortality rates of COVID-19 have been propos...

Outcome-based education (OBE) is a well-proven teaching strategy based upon a predefined set of expected outcomes. The components of OBE are Program Educational Objectives (PEOs), Program Outcomes (POs), and Course Outcomes (COs). These latter are assessed at the end of each course and several recommended actions can be proposed by faculty members’...

Applying artificial immune system in database security is a challenging trend to increase detection rate for internal intrusive users or administrators. Negative selection algorithm and danger theory are artificial immunity algorithms that provide promoting solutions for obtaining privacy-preserving data. This paper develops a mixed innate and adap...

This study provides a taxonomy of prominent opportunities and challenges yielded by utilizing gamification and serious games for English language learning. A Delphi method is used to gather computer science students’ opinions resulting from a SWOT analysis of the use of these two different game-based ways to learn English language. This study produ...

Commercial Off-The-Shelf (COTS) components are coarse-grained software components that satisfy high-level requirements by integrating several services and offering several interfaces. They are usually used to build larger systems. The paper proposes an ontology-based recommender system for COTS components, that contributes to COTS-based development...

Abstract : Medicinal plants play an important role in preventing and treating of human diseases. The number of symptoms, diseases, and medicinal plants is very important. Moreover, several symptoms can be treated with the same plant. Deciding about the appropriate medicinal plant is then a complex task. This paper proposes a rule-based decision sup...

Process patterns are widely used by the software engineering's community as an excellent mechanism for communicating software development knowledge (experiences and best practices) that has proven to be effective in practice. Process patterns may be involved in different software development activities. Indeed, every user has a distinct background...

COTS-based development is a component reuse approach promising to reduce costs and risks, and ensure higher quality. The growing availability of COTS components on the Web has concretized the possibility of achieving these objectives. In this multitude, a recurrent problem is the identification of the COTS components that best satisfy the user requ...

COTS-Based Software Development has emerged as an approach aiming to improve a number of drawbacks found in the software development industry. The main idea is the reuse of well-tested software products, known as Commercial-Off-The-Shelf (COTS) components, that will be assembled together in order to develop larger systems. The potential benefits of...

COTS-based development is a component reuse approach promising to reduce costs and risks, and ensure higher quality. Searching COTS components to identify potential ones for a later reuse is a critical activity, having to cope with some challenging marketplace characteristics related to its widespread, evolvable and growing nature. In this paper, w...